DocumentCode
1866996
Title
A new generation robot system for object picking
Author
MÜller, Markus ; WÖrn, Heinz
Author_Institution
Inst. for Process Control & Robotics, Karlsruhe Univ., Germany
fYear
2001
fDate
2001
Firstpage
55
Lastpage
60
Abstract
Robot systems for object picking from unsorted heaps of objects (ROs) have been investigated for more than twenty years. Nevertheless, the developed systems are not flexible and reliable enough for the widespread requirements of today. The paper presents first a classification of ROs according to the manner of sensory acquisition and processing of knowledge about the scene. Based thereupon, a new generation robot system is introduced, which involves reliable object picking without unintended lifting and damaging of neighbouring objects, whereas a minimum of previous knowledge about the scene is required. The robot system was realized and tested successfully in the shipping department of a German catalogue sales company.
Keywords
inference mechanisms; materials handling; probability; robot vision; sensor fusion; uncertainty handling; German catalogue sales company; active sensing; new generation robot system; object picking; probabilistic reasoning; sensory acquisition; shipping department; unsorted heaps; world model; Artificial intelligence; Employment; Information processing; Intellectual property; Intelligent robots; Layout; Marketing and sales; Process control; Robot sensing systems; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on
Print_ISBN
3-00-008260-3
Type
conf
DOI
10.1109/MFI.2001.1013508
Filename
1013508
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